Coffee Lectures: High Performance Computing - compact (bwHPC)

The "Coffee Lectures" offer you short, practice-oriented insights into methods and applications of scientific computing on the Level 3 high-performance computers funded by the state of Baden-Württemberg (bwHPC).

We provide you with 15–20 minute knowledge bites each day at 1:15 p.m.

No registration is required. Simply join the Zoom meeting at the start time.
The Zoom link is the same for all Coffee Lectures.

Meeting-ID:uni-hohenheim.zoom-x.de/j/67767467562

Meeting ID: 677 6746 7562
Passcode: T8wmri

Grab a cup of tea or coffee and join us virtually!
You are also welcome to suggest topics you would like to learn more about.

Email to: kim-bw-projekte@uni-hohenheim.de

Datum	Level	Titel	Referent*n
19.11.2025	intermediate	Options for running programs on the bwUniCluster. We explore different options that users on the bwUniCluster have to run the applications necessary for their research	Benedikt Otto
03.12.2025	intermediate	Using JupyterHub on the bwUniCluster We present the JupyterHub functionality of the bwUniCluster and demonstrate working with Jupyter Notebooks using cluster resources	Konstantin Kuck
17.12.2025	basic/intermediate	Useful tips for working on the Cluster A collection of useful tips and tools that help with working on the bwUniCluster.	Benedikt Otto
14.01.2026	intermediate	Python package Management We present different ways to install and us Phyton packages, explore pros and cons, and how they can be used on the bwUniCluster	Benedikt Otto
Jan 2026	basic	Data transfer to bwUniCluster We present options for transferring data from and to the bwUniCluster
Feb 2026	intermediate	Using R on the bwUniCluster Using programs written in the R language on the bwUniCluster, and tips for parallelizing R code	Konstantin Kuck
Feb 2026	advanced	Creating reproducible environments with Conda We show how you can utilize Conda environments to create reproducible research environments, and the consequences of the latest Anaconda licensing changes	Benedikt Otto
2026	advanced	Containers on the bwUniCluster Docker containers are powerful tools to package program environments and their dependencies. We show how containers can be utilized on the bwUniCluster and how to integrate them into Batch scripts	Benedikt Otto
2026	advanced	Using GPUs on the bwUniCluster Creating Batch jobs that use GPU resources on the bwUniCluster.

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